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functionalities (GUI and web-service) Participate in field work organization, sampling plan establishment and in-situ data acquisition Your Profile PhD in environmental sciences or computer science, with a proven
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of informatic tools for analyzing large-scale datasets Additional Information: The College of the Arts and Sciences Department of Microbiology is seeking a Post Doctoral Scholar. The College of Arts and Sciences
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grant when extending an offer. Completion of PhD in Data Science, Computer Science, Mathematics, or other discipline aligned with CDS faculty research by the start date. Please follow instructions in
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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
modeling of large-scale dynamics in networks. This role involves creating large scale models of dynamic phenomena in electrical power networks and quantifying the risk of rare events to mitigate
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computational approaches, including artificial intelligence (AI), to unravel the mechanisms driving neuroimmunologic diseases. Your responsibilities: Plan and perform innovative large-scale experiments bridging
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areas of crop production, crop development, and alternative cropping systems. Specifically, this position will lead field research efforts for two large established/funded projects in cotton, and develop
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generating, mobilising, and harvesting “big data” to create a dynamic and agnostic collection of information and deliver a new class of research that will enable a better understanding of the clinical
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to constitute a hospital-university institute (IHU) from 2025. This Institut reConnect will tackle the topic of big data in audio-vestibular patients and the work performed by the engineer will form a solid basis
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. The department has a scientific staff of about 210 persons, 140 PhD Students, and a technical/administrative support staff of about 100 persons of which a large majority contributes to our research
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research is based on large and high-dimensional datasets across multiple modalities, including molecular, clinical and histopathology imaging data. Our computational pathology research is based